style(hus):polish readme format and add more information
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README.md
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## Dataset Description
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This dataset includes 8 episodes of pong-v4 environment. The expert policy is EfficientZero, which is able to generate MCTS hidden states.
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## Dataset Structure
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### Data Instances
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A data point comprises tuples of sequences of (observations, actions, hidden_states):
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- `hidden_state`: An Array3D containing corresponding hidden states generated by EfficientZero, from 8 trajectories of an evaluated agent. The data type is float32.
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### Data Splits
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There is only a training set for this dataset, as evaluation is undertaken by interacting with a simulator.
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## Dataset Description
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This dataset includes 8 episodes of pong-v4 environment. The expert policy is EfficientZero, which is able to generate MCTS hidden states.
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## Supported Tasks and Leaderboards
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## Dataset Structure
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### Data Instances
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A data point comprises tuples of sequences of (observations, actions, hidden_states):
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- `hidden_state`: An Array3D containing corresponding hidden states generated by EfficientZero, from 8 trajectories of an evaluated agent. The data type is float32.
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### Data Splits
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There is only a training set for this dataset, as evaluation is undertaken by interacting with a simulator.
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## Dataset Creation
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### Curation Rationale
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- TBD
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### Source Data
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#### Initial Data Collection and Normalization
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- TBD
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#### Who are the source language producers?
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- TBD
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#### Annotations
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- TBD
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## Considerations for Using the Data
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### Known Limitations
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- TBD
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## Additional Information
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### Licensing Information
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- TBD
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### Citation Information
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```
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TBD
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```
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### Contributions
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Thanks to [@test](test_url), for adding this dataset.
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[How to contribute to Datasets](https://files.pushshift.io/reddit/)
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